Search Results - "Hassanien, Aboul Ella"

Early Detection and Categorization of Cervical Cancer Cells Using Smoothing Cross Entropy-Based Multi-Deep Transfer Learning by Ahmed, Rania, Dahmani, Nadia, Dahy, Ghada, Darwish, Ashraf, Ella Hassanien, Aboul

“…Cervical cancer is one of the leading causes of death in women worldwide. Prompt and accurate diagnosis is imperative for the treatment of cervical cancer…”
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Locomotion-based Hybrid Salp Swarm Algorithm for Parameter Estimation of Fuzzy Representation-based Photovoltaic Modules by Rizk M. Rizk-Allah, Aboul Ella Hassanien

“…Identifying the parameters of photovoltaic (PV) modules is significant for their design and simulation. Because of the instabilities in the weather action and…”
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Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm by Oliva, Diego, Abd El Aziz, Mohamed, Ella Hassanien, Aboul

“…•We modify the whale algorithm using chaotic maps.•We apply a chaotic algorithm to estimate parameter of photovoltaic cells.•We perform a study of chaos in…”
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Binary ant lion approaches for feature selection by Emary, E., Zawbaa, Hossam M., Hassanien, Aboul Ella

“…In this paper, binary variants of the ant lion optimizer (ALO) are proposed and used to select the optimal feature subset for classification purposes in…”
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Feature selection via a novel chaotic crow search algorithm by Sayed, Gehad Ismail, Hassanien, Aboul Ella, Azar, Ahmad Taher

“…Crow search algorithm (CSA) is a new natural inspired algorithm proposed by Askarzadeh in 2016. The main inspiration of CSA came from crow search mechanism for…”
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Chaotic dragonfly algorithm: an improved metaheuristic algorithm for feature selection by Sayed, Gehad Ismail, Tharwat, Alaa, Hassanien, Aboul Ella

“…Selecting the most discriminative features is a challenging problem in many applications. Bio-inspired optimization algorithms have been widely applied to…”
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An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis by Darwish, Ashraf, Ezzat, Dalia, Hassanien, Aboul Ella

“…The plant disease classification based on using digital images is very challenging. In the last decade, machine learning techniques and plant images…”
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Bezier Curve Based Path Planning in a Dynamic Field using Modified Genetic Algorithm by Elhoseny, Mohamed, Tharwat, Alaa, Hassanien, Aboul Ella

“…•This paper proposes an efficient, Bezier curve based approach for the path planning in a dynamic field using Modified Genetic Algorithm (MGA).•The path…”
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Wearable and implantable wireless sensor network solutions for healthcare monitoring by Darwish, Ashraf, Hassanien, Aboul Ella

“…Wireless sensor network (WSN) technologies are considered one of the key research areas in computer science and the healthcare application industries for…”
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A survey of swarm and evolutionary computing approaches for deep learning by Darwish, Ashraf, Hassanien, Aboul Ella, Das, Swagatam

“…Deep learning (DL) has become an important machine learning approach that has been widely successful in many applications. Currently, DL is one of the best…”
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End-to-End Deep Learning Model for Corn Leaf Disease Classification by Amin, Hassan, Darwish, Ashraf, Hassanien, Aboul Ella, Soliman, Mona

“…Plant diseases compose a great threat to global food security. However, the rapid identification of plant diseases remains challenging and time-consuming. It…”
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Adaptive chaotic dynamic learning-based gazelle optimization algorithm for feature selection problems by Abdel-Salam, Mahmoud, Askr, Heba, Ella Hassanien, Aboul

“…[Display omitted] Feature Selection (FS) is considered a crucial procedure for eliminating unnecessary features from datasets. FS is considered a challenging…”
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Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm by Tharwat, Alaa, Elhoseny, Mohamed, Hassanien, Aboul Ella, Gabel, Thomas, Kumar, Arun

“…Path planning algorithms have been used in different applications with the aim of finding a suitable collision-free path which satisfies some certain criteria…”
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Improved diagnosis of Parkinson's disease using optimized crow search algorithm by Gupta, Deepak, Sundaram, Shirsh, Khanna, Ashish, Ella Hassanien, Aboul, de Albuquerque, Victor Hugo C.

“…Diagnosis of Parkinson's disease at its early stage is important in proper treatment of the patients so they can lead productive lives for as long as possible…”
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Optimized deep networks for the classification of nanoparticles in scanning electron microscopy imaging by Dahy, Ghada, Soliman, Mona M., Alshater, Heba, Slowik, Adam, Ella Hassanien, Aboul

“…[Display omitted] •Dataset of 750 ordered nanoscale materials. Palladiumnanoparticles (Pd nanoparticles) are presented.•A transfer learning-based VGG-19 deep…”
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New binary whale optimization algorithm for discrete optimization problems by Hussien, Abdelazim G., Hassanien, Aboul Ella, Houssein, Essam H., Amin, Mohamed, Azar, Ahmad Taher

“…The whale optimization algorithm (WOA) is an intelligence-based technique that simulates the hunting behaviour of humpback whales in nature. In this article,…”
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Novel prediction model on OSCC histopathological images via deep transfer learning combined with Grad-CAM interpretation by Afify, Heba M., Mohammed, Kamel K., Ella Hassanien, Aboul

“…[Display omitted] •In practice, pathologists have to review numerous images of OSCC histopathological, which takes time and is laborious.•Although the…”
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A multi-task graph deep learning model to predict drugs combination of synergy and sensitivity scores by Monem, Samar, Hassanien, Aboul Ella, Abdel-Hamid, Alaa H

“…Drug combination treatments have proven to be a realistic technique for treating challenging diseases such as cancer by enhancing efficacy and mitigating side…”
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An effective SVD-based image tampering detection and self-recovery using active watermarking by Dadkhah, Sajjad, Abd Manaf, Azizah, Hori, Yoshiaki, Ella Hassanien, Aboul, Sadeghi, Somayeh

“…In this paper, an effective tamper detection and self-recovery algorithm based on singular value decomposition (SVD) is proposed. This method generates two…”
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A multi-task learning model for predicting drugs combination synergy by analyzing drug–drug interactions and integrated multi-view graph data by Monem, Samar, Hassanien, Aboul Ella, Abdel-Hamid, Alaa H.

“…This paper proposes a multi-task deep learning model for determining drug combination synergistic by simultaneously output synergy scores and synergy class…”
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